• 대한기계학회:학술대회논문집
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• 대한기계학회 2003년도 추계학술대회
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• pp.747-752
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• 2003

Many clinical studies have suggested that the blood flow in ideal geometry is involved in the development of atherosclerosis. This study simulated blood flow in the abdominal artery with real geometry to investigate MWSS(mean wall shear stress), AWSS(amplitude of wall shear stress) and OSI(oscillator shear index). The calculation grid for the real geometry was constructed by extracting the surface of arterial wall from CT(Computed Tomography) or MRI(Magnetic Resonance Imaging) sheets called as DICOM (Digital Imaging and Communications in Medicines). The calculated MWSS, AWSS and OSI are much different from those of ideal geometry calculation. The MWSS increased while the AWSS decreased. Many shear forces are related to shapes of gradient. This paper will give clinical datum where the MWSS, AWSS and OSI are strong or weak. The hemodynamic analysis based on real geometry can provide surgeons with more reliable information about the effect of blood flow.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.134-137
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• 2007

In this paper the heat health alert system, which is operated this year by way of showing an example, is a simulator linked to the Geographic Information System (GIS), and it uses meteorological data that are observed at Automatic Weather Systems (AWSs) in Seoul, Korea. Simulation results show that it is possible to use meteorological data observed by AWSs when the Korea Meteorological Administration (KMA) has issued alerting the public to the threat of heat waves, and to connect meteorological data to spatial data when the KMA offers local forecasts and weather-related information. However, most AWSs that were installed to manage urban disasters do not measure humidity, so general humidity is used in all districts. Therefore, to issue heat wave warnings about different localities on a small scale, we will study how to complement this problem and to examine the accuracy of data observed at AWS in the future.

• 한국환경과학회지
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• 제24권3호
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• pp.291-302
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• 2015

The seasonal variations of sea surface winds and significant wave heights were investigated using the data observed from the marine meteorological buoys (nine stations) and Automatic Weather Stations (AWSs) in lighthouse (nine stations) around the Korean Peninsula during 2010~2012. In summer, the prevailing sea surface winds over the East/West Sea and the South Sea were northerly/southerly and easterly/westerly winds due to both of southeast monsoon and the shape of Korean Peninsula. On the other hand, the strong northerly winds has been observed at most stations near Korean marginal seas under northwest monsoon in winter. However, the sea surface winds at some stations (e.g. Galmaeyeo, Haesuseo in the West Sea) have different characteristics due to topographic effects such as island or coastal line. The significant wave heights are the highest in winter and the lowest in summer at most stations. In case of some lighthouse AWSs surrounded by islands (e.g. Haesuseo, Seosudo) or close to coast (e.g. Gangan, Jigwido), very low significant wave heights (below 0.5 m) with low correlations between sea surface wind speeds and significant wave heights were observed.

• 한국항해항만학회지
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• 제40권5호
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• pp.271-278
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• 2016

Localized atmospheric conditions between multi-reference stations can bring the tropospheric delay irregularity that becomes an error terms affecting positioning accuracy in network RTK environment. Imbalanced network error can affect the network solutions and it can corrupt the entire network solution and degrade the correction accuracy. If an anomaly could be detected before the correction message was generated, it is possible to eliminate the anomalous satellite that can cause degradation of the network solution during the tropospheric delay anomaly. An atmospheric grid that consists of four meteorological stations was used to detect an inhomogeneous weather conditions and tropospheric anomaly applied AWSs (automatic weather stations) meteorological data. The threshold of anomaly detection algorithm was determined based on the statistical weather data of AWSs for 5 years in an atmospheric grid. From the analytic results of anomaly detection algorithm it showed that the proposed algorithm can detect an anomalous satellite with an anomaly flag generation caused tropospheric delay anomaly during localized atmospheric conditions between stations. It was shown that the different precipitation condition between stations is the main factor affecting tropospheric anomalies.

• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2003년도 추계학술대회 논문집
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• pp.503-503
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• 2003

Urban heat islands related with Cheongyecheon restoration in Seoul metropolitan area for the summertime of 2003. To investigate the spatial and temporal structure of the urban heat island in Seoul, temperature data measured at 32 automatic weather stations (AWSs) in the Seoul metropolitan area and 12 additional stations operated by the portable device for the measurement of temperature and relative humidity in the Cheonggyecheon area. (omitted)

• 대기
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• 제27권1호
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• pp.67-77
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• 2017

In this study, we analyzed the characteristics of flow around the Daeyeon automatic weather station (AWS 942) and established formulas estimating inflow wind speeds at a computational fluid dynamics (CFD) model domain for the area around Pukyong national university using a computational fluid dynamics (CFD) model. Simulated wind directions at the AWS 942 were quite similar to those of inflows, but, simulated wind speeds at the AWS 942 decreased compared to inflow wind speeds except for the northerly case. The decrease in simulated wind speed at the AWS 942 resulted from the buildings around the AWS 942. In most cases, the AWS 942 was included within the wake region behind the buildings. Wind speeds at the inflow boundaries of the CFD model domain were estimated by comparing simulated wind speeds at the AWS 942 and inflow boundaries and systematically increasing inflow wind speeds from $1m\;s^{-1}$ to $17m\;s^{-1}$ with an increment of $2m\;s^{-1}$ at the reference height for 16 inflow directions. For each inflow direction, calculated wind speeds at the AWS 942 were fitted as the third order functions of the inflow wind speed by using the Marquardt-Levenberg least square method. Estimated inflow wind speeds by the established formulas were compared to wind speeds observed at 12 coastal AWSs near the AWS 942. The results showed that the estimated wind speeds fell within the inter quartile range of wind speeds observed at 12 coastal AWSs during the nighttime and were in close proximity to the upper whiskers during the daytime (12~15 h).

• 한국환경과학회지
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• 제21권8호
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• pp.953-963
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• 2012

The annual variations of the urban heat island in Busan is investigated using surface temperature data measured at 3 automatic weather stations(AWSs) for the 5 years period, 2006 to 2010. Similar to previous studies, the intensity of the urban heat island is calculated using the temperature difference between downtown(Busanjin, Dongnae) and suburb(Gijang). The maximum hourly mean urban heat island are $1.4^{\circ}C$ at Busanjin site, 2300LST and $1.6^{\circ}C$ at Dongnae site, 2100LST. It occurs more often at Dongnae than Busanjin. Also the maximum hourly mean urban heat island appears in November at both sites. The urban heat island in Busan is stronger in the nighttime than in the daytime and decreases with increasing wind speed, but it is least developed in summer. Also it partly causes the increasement of nighttime PM10 concentration.

• 한국조경학회지
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• 제30권4호
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• pp.28-36
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• 2002

The main purpose of this study was to estimate a new regression model to explain the relationship between urban forest and air temperature in summer, 2001. This study consists of two parts: correlation coefficient analysis and regression analysis. According to correlation coefficient analysis, thermal infra-red radiations of the major land use categories found significant difference in each category. However there were no significant relationship between the data (thermal infra-red radiation and NDVI) derived from Landsat-7 ETM+ image and air temperature at Automatic Weather Stations(AWSs). After estimating various regression models for summer air temperature, the final models were chosen. The final regression models consisted of two variables such as forest m and traffic facilities area. The regression models explained over 78% of the variability in air temperatures. The regression models with variables of forest area and traffic facilities area showed that the coefficient of the first variable was even more significant than the second one. However, the negative impact of the traffic facilities area was slightly greater than the positive impact of the forest area. Consequently, the effects of forest area and traffic facilities area were apparent to explain summer air temperature in Seoul. Therefore two policies have the most important implications to mitigate the summer air temperature in Seoul: to expand and to conserve the urban forest; and to change the Oafnc facilities'characteristics. The results from this study are expected to be useful not merely in informing the public that urban forest mitigates summer air temperahne, but in urging the necessity of budgets for trees and managing urban forests. It is recommended that field swey of summer air temperature be Performed for the vadidation of the models. The main purpose of this study was to estimate a new regression model to explain the relationship between urban forest and air temperature in summer, 2001. This study consists of two parts: correlation coefficient analysis and regression analysis. According to correlation coefficient analysis, thermal infra-red radiations of the major land use categories found significant difference in each category. However there were no significant relationship between the data (thermal infra-red radiation and NDVI) derived from Landsat-7 ETM+ image and air temperature at Automatic Weather Stations(AWSs). After estimating various regression models for summer air temperature, the final models were chosen. The final regression models consisted of two variables such as forest m and traffic facilities area. The regression models explained over 78% of the variability in air temperatures. The regression models with variables of forest area and traffic facilities area showed that the coefficient of the first variable was even more significant than the second one. However, the negative impact of the traffic facilities area was slightly greater than the positive impact of the forest area. Consequently, the effects of forest area and traffic facilities area were apparent to explain summer air temperature in Seoul. Therefore two policies have the most important implications to mitigate the summer air temperature in Seoul: to expand and to conserve the urban forest; and to change the traffic facilities'characteristics. The results from this study are expected to be useful not merely in informing the public that urban forest mitigates summer air temperature, but in urging the necessity of budgets for trees and managing urban forests. It is recommended that field survey of summer air temperature be Performed for the vadidation of the models.

• 한국지구과학회지
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• 제31권7호
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• pp.749-761
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• 2010

본 연구에서는 2006-2007년 여름(6-8월)동안의 기상청 낙뢰 관측자료와 자동관측소 강우량 자료를 사용하여 여름철 낙뢰와 강우의 관계에 대해 분석하였다. 대부분의 부극성 낙뢰는 대류가 활발한 중심에 집중되어 발생하고 낙뢰빈도가 높고 강한 강우를 동반하였다. 반면 대부분의 정극성 낙뢰는 구름의 가장자리 또는 모루운에서 발생하고 낙뢰빈도는 낮으며, 약한 강우를 동반하였다. 일반적으로 강우강도는 부극성과 정극성이 함께 발생했을 경우 가장 강하고 부극성 낙뢰, 정극성 낙뢰, 그리고 낙뢰가 발생하지 않은 순으로 나타나고 있다. 여름철 전체 낙뢰 중 정극성 낙뢰의 비율은 평균 10% 이하이며 강우를 유발하지 않는 낙뢰의 비율은 평균 34%이다. 강우강도는 특히 부극성 낙뢰빈도와 높은양의 상관을 보였고, 낙뢰는 강우와 동시에 발생하거나 약 10분정도 선행하는 경향을 보였다. 낙뢰를 동반한 강우를 대류성 강우로 정의하여 분석한 결과 우리나라 여름철 강우 중 적어도 20% 이상은 대류성 강우이며 6, 7월보다는 8월에 대류성 강우가 많이 발생하고 있다. 또한 강우 및 낙뢰와 같이 대류성 강우의 비율도 오후에 최대치를 보이는 일변동을 보인다.

• 한국농림기상학회지
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• 제15권1호
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• pp.17-25
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• 2013

본 연구는 복잡한 산악지형에서 바람장 변화를 해석하고, 산불발생시 확산방향을 예측하여 산불방지 전략에 활용하기 위해서 수행되었다. 연구 대상지는 2000년 4월 7일 산불이 발생하여 10일간 진행되었던 삼척지역을 대상으로 하였다. 삼척 산불피해지는 복잡한 산악구조를 가지고 있는데 먼저 중규모 기상 모델인 WRF를 사용하여 대상지에 설치한 AWS(4 지점)의 관측결과와 비교하였다. WRF 모의 결과, 4개 지점의 풍속은 AWS 관측지점의 풍속에 비해 5~8m/s(200% 과대평가) 강하였으며, 관측된 풍향은 지점마다 다양하게 나타난 것에 비해 모의된 풍향은 모든 지점에서 서풍계열로 나타났다. 결과적으로 WRF와 같은 중규모 기상모델은 복잡한 산악지형에서의 바람장 변화를 잘 모의하지 못하였다. 이러한 문제점을 해결하기 위해 미기상 대기유동장 수치모형인 ENVI-met 프로그램을 이용하여 지표면 높이에서 삼척 LTER 지역의 국지규모 바람장을 모의하였다. 지형효과에 의한 모델의 민감도를 위해 다양한 초기 조건(기류, 온 습도, 대기난류, 토양 및 식생 모형)들을 고려하여 분석하였다. ENVI-met 모의결과, 풍속은 실측과 비교할 때 약 70%의 정확도를 보였으며, 풍향은 계곡부와 능선부에서 지형효과로 인한 변화를 잘 반영하였다. 향후 ENVI-met은 산불확산예측 및 산불방지전략 수립을 위해 미기상 대기유동장 수치모형을 이용하여 산악지역의 미기상 해석에 관한 연구가 필요할 것으로 판단된다.